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https://www.iigm.it/site/index.php?l=ENG

Private research institute in Turin, Italy. Research programs in immunogenetics, functional genomics, genomic epidemiology, tumour diagnostic and prognostic biomarker research, epigenetic modifications in disease, quantitative biology and computational neuroscience.

Proper citation: Italian Institute for Genomic Medicine; Turin; Italy (RRID:SCR_017062) Copy   

•   Source: SciCrunch Registry

http://dabi.loni.usc.edu/

Organize, Store, Disseminate, Analyze and Visualize Invasive Neurophysiology Data. Shared archive and resource for human invasive neurophysiology data that have been established by Brain Research through Advancing Innovative Neurotechnologies (BRAIN) Initiative along with software tools for data uploading, visualization and analysis. Users can view and query datasets through online interface but cannot access raw data. Platform utilizes centralized and federated model. Investigators may upload data to central archive or house it themselves.

Proper citation: Data Archive BRAIN Initiative (RRID:SCR_017114) Copy   

•   Source: SciCrunch Registry

https://sparc.science

SPARC data repository as of 2023 is an open data repository developed as part of the NIH SPARC initiative and has been used by SPARC funded investigator groups to curate and publish high quality datasets related to the autonomic nervous system. We are thrilled that as of August 2022, SPARC is accepting datasets from investigators that are not funded through the NIH SPARC program. The NIH's Common Fund Stimulating Peripheral Activity to Relieve Conditions (SPARC) program aims to transform our understanding of these nerve-organ interactions and ultimately advance neuromodulation field toward precise treatment of diseases and conditions for which conventional therapies fall short.

Proper citation: SPARC Portal (RRID:SCR_017041) Copy   

•   Source: SciCrunch Registry

https://www.sciencescott.com/pyminer

Software tool to automate cell type identification, cell type-specific pathway analyses, graph theory-based analysis of gene regulation, and detection of autocrine-paracrine signaling networks. Finds Gene and Autocrine-Paracrine Networks from Human Islet scRNA-Seq.

Proper citation: PyMINEr (RRID:SCR_016990) Copy   

•   Source: SciCrunch Registry

https://www.t2depigenome.org/

Collects and provides data on the human genome and epigenome to facilitate genetic studies of type 2 diabetes and its complications. A component of the AMP T2D consortium, which includes the National Institute for Diabetes and Digestive and Kidney Diseases (NIDDK) and an international collaboration of researchers.

Proper citation: Diabetes Epigenome Atlas (RRID:SCR_016441) Copy   

•   Source: SciCrunch Registry

http://www.dhal.com/viewboxindex.htm

Software for cephalometric analysis. Customizable. Allows rendering, viewing and measuring of 3D data from CT scanners. Used in orthodontic departments for analysis of the dental and skeletal relationships of a human skull.

Proper citation: Viewbox4, Cephalometric software (RRID:SCR_016481) Copy   

•   Source: SciCrunch Registry

https://joinsolver.niaid.nih.gov

Software tool to analyze human immunoglobulin V(D)J recombination and performing Ig nucleotide and amino acid alignment, as well as extensive mutation and Complementarity Determining Region 3 (CDR3H) analysis.

Proper citation: JOINSOLVER (RRID:SCR_016619) Copy   

•   Source: SciCrunch Registry

https://github.com/afids

Open framework for evaluating correspondence between brain images and teaching neuroanatomy.

Proper citation: AFIDs (RRID:SCR_016623) Copy   

•   Source: SciCrunch Registry

http://www.webmd.com/

WebMD has created an organization that we believe fulfills the promise of health information on the Internet. We provide credible information, supportive communities, and in-depth reference material about health subjects that matter to you. We are a source for original and timely health information as well as material from well known content providers. The WebMD content staff blends award-winning expertise in journalism, content creation, community services, expert commentary, and medical review to give our users a variety of ways to find what they are looking for. And that, we believe, requires dedicated, full-time staff professionals with state-of-the-art expertise in: * Health news for the public * Creating and maintaining up-to-date medical reference content databases * Medical imagery, graphics, and animation * Communities * Live web events * User experience * Interactive tools Our board-certified physicians, award-winning journalists, and trained community moderators are solely dedicated to your daily information experience on WebMD. Our content staff includes individuals who hold advanced degrees in journalism, medical illustration, health communications, clinical informatics, nursing, and medicine. WebMD verifies the qualifications of all medical professionals on the site; including health professionals, experts, editorial professionals and contributors with a specialty license. You may search for information or use the Health A-Z option. Additionally, Drugs & Supplements, Living Healthy, Eating & Diet, Parenting & Pregnancy, Teen Health, and Pet Health tabs are available.

Proper citation: WebMD (RRID:SCR_004567) Copy   

•   Source: SciCrunch Registry

http://www.biak.us/

At Brain Injury Alliance of Kentucky (BIAK), a 501(c)(3) non-profit agency, our sole mission is to serve Kentucky citizens whose lives have been affected by brain injury. We do this through advocacy, education, prevention, research, service and support. BIAK links survivors of brain injury and their families to support from others with similar experience; provides them with education and information about living and coping with brain injury; assists them in locating resources for financial assistance; and seeks to connect people with sources of emotional support. BIAK began as an outgrowth of a Lexington area support group in the early 1980s. Family members, medical staff and others felt the need to expand the services and support to reach statewide. The state office was moved to Louisville and incorporated in 1986. BIAK now has offices and staff in Louisville and Lexington. BIAK seeks to share its philosophy, experience and skills with survivors, family members, students, caregivers, administrators, health professionals, legislators, the lay community and all those who desire to make a difference in the life of individuals with brain injuries and their families. At BIAK you will find information about brain injury. We define brain injury as any injury to the brain including injury received from a fall, a stroke, trauma, anoxia, infection, and tumors or other illnesses. Each year, a growing number of Kentucky citizens are affected by brain tumors. These may range from benign tumors to aggressive cancers. The Michael Quinlan Brain Tumor program recently joined BIAK to provide service and support to individuals and families who have been affected by brain tumors. There is always help available to you and your family.

Proper citation: Brain Injury Alliance of Kentucky (RRID:SCR_004764) Copy   

•   Source: SciCrunch Registry

http://www.fightplga.org/

The Pediatric Low Grade Astrocytoma (PLGA) Foundation is the largest, and only, non-profit organization dedicated to providing hope to children, parents, and families fighting Pediatric Low Grade Astrocytomas (PLGAs). We were founded in August 2007, as a 501(c)(3) foundation made up of families and friends dedicated to helping children who are struggling with brain tumors. To date, families associated with the Pediatric Low Grade Astrocytoma (PLGA) Foundation have raised over $6 million for DEDICATED PLGA research and funded over a dozen new research projects targeted specifically at children''s brain tumors or PLGA''s. These funds have supported the launch of the Dana Farber Cancer Institute''s PLGA Research Program as well as numerous grants distributed by the Brain Tumor Society, and other fine institutions. The PLGA Foundation awards 100% of funds to education and research in the search for more effective, less toxic treatment options for this potentially devastating childhood brain tumor. The PLGA Foundation actively promotes partnerships with other non-profit organizations, private individuals and government entities and has collaborated on fund raising, education and grant allocations in order to leverage resources and funds. Our goal at the Pediatric Low Grade Astrocytoma (PLGA) Foundation, also known as Fight Juvenile Pilocytic Astrocytoma (FightJPA.org), is to UNITE families around the country and around the world in the FIGHT for the lives of our children who suffer from PLGAs - childhood brain tumors. We can defeat childhood brain tumors through a united effort on all fronts to increase awareness, education, fundraising and research of pediatric low grade astrocytomas.

Proper citation: Pediatric Low Grade Astrocytoma Foundation (RRID:SCR_004758) Copy   

•   Source: SciCrunch Registry

http://www.startthecure.com/

South Texas Accelerated Research Therapeutics (START) directs clinical trials of novel anticancer agents using a high quality and innovative information technology infrastructure to ensure accurate and rapid clinical trials in a setting that emphasizes personalized and compassionate clinical care. START''s head office is located in San Antonio, Texas, in the heart of the South Texas Medical Center. With centers located in San Antonio, Texas and Madrid, Spain, START conducts the world''s largest Phase I medical oncology program putting more than 400 patients per year on Phase I trials. Patients travel from all over the world to participate in one or more of our Phase I drug trials. START consists of a team of highly trained physicians and staff with extensive experience in Phase I clinical trials research and are nationally recognized as thought leaders in cancer research and drug development. The mission of START is to accelerate the development of new anticancer drugs that will improve the quality of life and survival for patients with cancer. Our drug development program is not only furthering cancer research, but also offers hope to patients facing the toughest cancer battles.

Proper citation: South Texas Accelerated Research Therapeutics (RRID:SCR_004867) Copy   

•   Source: SciCrunch Registry

http://www.pantherdb.org/

System that classifies genes by their functions, using published scientific experimental evidence and evolutionary relationships to predict function even in absence of direct experimental evidence. Orthologs view is curated orthology relationships between genes for human, mouse, rat, fish, worm, and fly., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: PANTHER (RRID:SCR_004869) Copy   

•   Source: SciCrunch Registry

http://birdgenenames.org/cgnc/

International group of researchers interested in providing standardized gene nomenclature for chicken genes. A Chicken Gene Annotation Tool is available from CGNC-UK which assigns chicken nomenclature based on predicted orthology to human genes. The CGNC-US database includes CGNC-UK information and adds manually biocurated from biocurators and interested contributors. A Human Chicken Ortholog Predictions Search is available. Both resources are part of a united CGNC effort and nomenclature data is shared and co-ordinated between these two resources. They strongly encourage researchers with domain knowledge to participate in this nomenclature effort by requesting a login and providing gene nomenclature for their genes of interest. Please contact them for further information or assistance. The AGNC works in conjunction with public resources such as NCBI and Ensembl and in consultation with existing nomenclature committees, including the Chicken Gene Nomenclature Committee (CGNC). The Avian and Chicken nomenclature efforts are co-ordinated and chicken data is shared between these two groups.

Proper citation: Chicken Gene Nomenclature Consortium (RRID:SCR_004966) Copy   

•   Source: SciCrunch Registry

http://neuroscienceblueprint.nih.gov/factSheet/MicronCon.htm

THIS RESOURCE IS NO LONGER IN SERVICE, documented on April 24, 2012. (no longer being funded) The NIH Microarray Consortium provides for-fee services to a community of NIH grantees, together with a more limited set of services to the public. The primary goal of this consortium is to move basic and translational research forward through acquisition and dissemination of high quality genomic data. This site includes a repository of microarray data sets and offers one-click links to public projects. These datasets were generated by various researchers on these platforms: Affymetrix, Agilent, Ambion, cDNA, Illumina, and Operon. The species currently covered are: Arabidopsis, Bovine, chicken, C. Elegans, Drosophila, Human, Macaca mulatta (Rhesus macaque), Mouse, Rat, Songbird, Xenopus, Yeast, and zebra finch. Basic search functions allows users to choose multiple options for finding the projects that interest them, and raw data files can also be downloaded after user registration. Web-based data analysis tools are also available. Scientists can analyze microarray data from the consortium repository or investigators can upload outside data for analysis.

Proper citation: NIH Neuroscience Microarray Consortium (RRID:SCR_004930) Copy   

•   Source: SciCrunch Registry

http://fcon_1000.projects.nitrc.org/fcpClassic/FcpTable.html

1200+ ''resting state'' functional MRI (R-fMRI) datasets independently collected at 33 sites and donated by the principal investigators for the purpose of providing the broader imaging community complete access to a large-scale functional imaging dataset. Age, sex and imaging center information are provided for each of the datasets. In accordance with HIPAA guidelines, all datasets are anonymous, with no protected health information included. We anticipate this data-sharing effort will equip researchers with a means of exploring and refining R-fMRI approaches, and facilitate the growing ethos of sharing and collaboration. Disclaimer: The ''1000 Functional Connectomes Project'' datasets are provided freely without assurance of quality or appropriateness for usage.

Proper citation: FCP Classic Data Sharing Samples (RRID:SCR_005362) Copy   

•   Source: SciCrunch Registry

http://www.icn.ucl.ac.uk/motorcontrol/

Using robotic devices to investigate human motor behavior, this group develops computational models to understand the underlying control and learning processes. By simulating novel objects or dynamic environments they study how the brain recalibrates well-learned motor skills or acquires new ones. These insights are used to design fMRI studies to investigate how these processes map onto the brain. They have developed a number of novel techniques of how to study motor control in the MRI environment, and how to analyze MRI data of the human cerebellum. They also study patients with stroke or neurological disease to further determine how the brain manages to control the body.

Proper citation: UCL Motor Control Group (RRID:SCR_005271) Copy   

•   Source: SciCrunch Registry

http://phenotype.mc.vanderbilt.edu/

Collaborative environment of building and validating electronic phenotype algorithms using electronic medical records (EMRs) and natural language processing (NLP) for use in genome-wide association studies (GWAS). On this site you can: View existing algorithms, Enter or create new algorithms, Collaborate with others to create or review algorithms, View implementation details for existing algorithms. The Electronic Medical Records and Genomics Network (eMERGE) has investigated whether data captured through routine clinical care using electronic medical records (EMRs) can identify disease phenotypes with sufficient positive and negative predictive values for use in genome-wide association studies (GWAS). Most EMRs captured key information (diagnoses, medications, laboratory tests) used to define phenotypes in a structured format; in addition, natural language processing has also been shown to improve case identification rates. PheKB is an outgrowth of that validation effort. Phenotype algorithms can be viewed by data modalities or methods used: CPT codes, ICD 10 codes, ICD 9 codes, Laboratories, Medications, Vital Signs, Natural Language Processing Algorithms can also be viewed by: * Implementation results (positive predictive value, sensitivity, publications) * Institution * Work Group

Proper citation: PheKB (RRID:SCR_005292) Copy   

•   Source: SciCrunch Registry

http://cmrm.med.jhmi.edu/

The goal of our laboratory is to develop new MR technologies to improve the resolution and contrast of MRI and apply them to observe brain anatomy to answer various types of biological questions. Currently we have three major research targets: Characterization of mouse brain development; Human white matter anatomy and development; and Development of diffusion tensor imaging technique and technology dissemination. The DTI database (Under the DTI Download Tab) contains raw and processed DTI data of normal population. Currently we have 2.5 mm isotropic resolution images and 2.2 mm isotropic resolution images. Only 2.5 mm data are available from this site. If you are interested in the high-resolution images, please contact susumu @ mri.jhu.edu. This database is open to public once the user is registered. Basic imaging parameters can be also downloaded.

Proper citation: Johns Hopkins Laboratory of Brain Anatomical MRI (RRID:SCR_005280) Copy   

•   Source: SciCrunch Registry

http://en.wikipedia.org/wiki/Gene_Wiki

The Gene Wiki is a project that facilitates transferring information on human genes to Wikipedia article stubs with the goal of promoting collaboration and expansion of the articles. Number of gene articles The human genome contains an estimated 20,00025,000 protein-coding genes. The goal of the Gene Wiki project is to create seed articles for every notable human gene, that is, every gene whose function has been assigned in the peer-reviewed scientific literature. Approximately half of human genes have assigned function, therefore the total number of articles seeded by the Gene Wiki project would be expected to be in the range of 10,000 - 15,000. To date, approximately 10,271 articles have been created or augmented to include Gene Wiki project content. Expansion Once seed articles have been established, the hope and expectation is that these will be annotated and expanded by editors ranging in experience from the lay audience to students to professionals and academics. Proteins encoded by genes The majority of genes encode proteins hence understanding the function of a gene generally requires understanding of the function of the corresponding protein. In addition to including basic information about the gene, the project therefore also includes information about the protein encoded by the gene. Stubs for the Gene Wiki project are created by a bot and contain links to the following primary gene/protein databases * HUGO Gene Nomenclature Committee official gene name * Entrez Gene database * OMIM (Mendelian Inheritance in Man) database that catalogues all the known diseases with a genetic component * Amigo Gene Ontology * HomoloGene gene homologs in other species * SymAtlasRNA gene expression pattern in tissues * Protein Data Bank 3D structure of protein encoded by the gene * Uniprot (universal protein resource) a central repository of protein data

Proper citation: Gene Wiki (RRID:SCR_005317) Copy   

•   Source: SciCrunch Registry